Format

Send to:

Choose Destination
See comment in PubMed Commons below
Artif Intell Med. 2008 Nov;44(3):171-82. doi: 10.1016/j.artmed.2008.07.006. Epub 2008 Sep 2.

Intelligent decision support systems for mechanical ventilation.

Author information

  • 1Department of Electrical Engineering, California State University, Fullerton, 800 N State College Boulevard, Fullerton, CA 92831, USA. ftehrani@fullerton.edu

Abstract

OBJECTIVE:

An overview of different methodologies used in various intelligent decision support systems (IDSSs) for mechanical ventilation is provided. The applications of the techniques are compared in view of today's intensive care unit (ICU) requirements.

METHODS:

Information available in the literature is utilized to provide a methodological review of different systems.

RESULTS:

Comparisons are made of different systems developed for specific ventilation modes as well as those intended for use in wider applications. The inputs and the optimized parameters of different systems are discussed and rule-based systems are compared to model-based techniques. The knowledge-based systems used for closed-loop control of weaning from mechanical ventilation are also described. Finally, in view of increasing trend towards automation of mechanical ventilation, the potential utility of intelligent advisory systems for this purpose is discussed.

CONCLUSIONS:

IDSSs for mechanical ventilation can be quite helpful to clinicians in today's ICU settings. To be useful, such systems should be designed to be effective, safe, and easy to use at patient's bedside. In particular, these systems must be capable of noise removal, artifact detection and effective validation of data. Systems that can also be adapted for closed-loop control/weaning of patients at the discretion of the clinician, may have a higher potential for use in the future.

PMID:
18768304
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Write to the Help Desk